You are configuring an Azure Machine Learning sweep job to tune hyperparameters for a gradient boosting model. Your compute cluster has a maximum of 8 nodes, and each trial uses a single node. The team wants the sweep to finish as quickly as possible while completing exactly 40 trials, but the finance team requires that no more than 4 nodes run concurrently to control cost during business hours. Which sweep job limit settings should you configure?